Monitoring gene level biodiversity - aspects and considerations in the context of conservation
2011 (English)Doctoral thesis, comprehensive summary (Other academic)
The objectives of this thesis relate to questions needed to be addressed in the context of genetic monitoring for implementing the Convention on Biological Diversity for the gene level. Genetic monitoring is quantifying temporal changes in population genetic metrics. Specific goals of this thesis include i) synthesizing existing information relevant to genetic monitoring of Swedish species, ii) providing a genetic baseline for the Swedish moose, iii) evaluating the relative performance of nuclear versus organelle genetic markers for detecting population divergence, iv) actually monitoring the genetic composition, structure, level of variation, and effective population size (Ne) and assessing the relation between Ne and the actual number of individuals for an unexploited brown trout population.
The concept of conservation genetic monitoring is defined and Swedish priority species for such monitoring are identified; they include highly exploited organisms such as moose, salmonid fishes, Norway spruce, Atlantic cod, and Atlantic herring. Results indicate that the Swedish moose might be more genetically divergent than previously anticipated and appears to be divided into at least three different subpopulations, representing a southern, a central, and a northern population.
The relative efficiency of nuclear and organelle markers depends on the relationship between the degree of genetic differentiation at the two types of markers. In turn, this relates to how far the divergence process has progressed.
For the monitored brown trout population no indication of systematic change of population structure or allele frequencies was observed over 30 years. Significant genetic drift was found, though, translating into an overall Ne-estimate of ~75. The actual number of adult fish (NC) was assessed as ~600, corresponding to an Ne/NC ratio of 0.13. In spite of the relatively small effective population size monitoring did not reveal loss of genetic variation.
Place, publisher, year, edition, pages
Stockholm: Department of Zoology, Stockholm University , 2011. , 60 p.
brown trout, conservation genetics, genetic drift, genetic monitoring, effective population size, moose, one-sample approach, spatial genetic structure, statistical power, temporal data
Research subject Population Genetics
IdentifiersURN: urn:nbn:se:su:diva-62796ISBN: 978-91-7447-353-7OAI: oai:DiVA.org:su-62796DiVA: diva2:453179
2011-12-09, Magnélisalen, Kemiska övningslaboratoriet, Svante Arrhenius väg 16 B, Stockholm, 10:00 (English)
Hindar, Kjetil, Senior Research Scientist
Laikre, Linda, ProfessorRyman, Nils, Professor
List of papers